Welcome to the coding lab of our "Introduction to Machine Learning & Deep Learning" course!
The course is taught by Prof. Dr. Damian Borth and Prof. Dr. Lukas Gonon; and the coding labs will be supported by Joëlle Hanna.
Happy Coding!
Your AIML teaching team
The lab notebooks were created by the AIML Chair and are copyrighted by the AIML Chair.
This table lists all coding lab notebooks and exercise notebooks:
| Date | Lab Number | Topic | Lab Notebook (MyBinder) | Lab Notebook (CoLab) |
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| <Tue, Sept. 16 | Lab 0 | Prerequisite |  |
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| Tue, Sept. 23 | Lab 1 | Python 101: Jupyter Notebooks and Python Basics | |
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| Tue, Sept. 30 | Lab 2 | Python 102: Numerical Math & Images | |
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| Tue, Oct. 7 | no session | |||
| Tue, Oct. 14 | Lab 3 | Machine Learning I (Naive Bayes) |
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| Tue, Oct. 21 | Lab 4 | Machine Learning II (k Nearest-Neighbors) |
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| Tue, Nov. 11 | Lab 5 | Machine Learning III (Unsupervised Learning) |
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| Tue, Nov. 18 | Lab 6 | Deep Learning I (Artificial Neural Nets) |
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| Tue, Nov. 25 | Lab 7 | Deep Learning II (Convolutional Neural Nets) |
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| Tue, Dec. 2 | no session | |||
| Tue, Dec. 9 | Lab 8 | Deep Learning III (Recurrent Neural Nets) |
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